Founded in 1966, Mastercard is a worldwide transaction, payment-processing, and consulting company best known for its line of personal and business credit cards. As an employer, Ma
Lead Software Engineer
Location
Mexico
Posted
5 days ago
Salary
0
Seniority
Lead
Job Description
Lead Software Engineer
Mastercard
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview The CNPF Data & AI organization is looking for a Lead Software Engineer to help build the next generation of intelligent, agentic products and platforms powering the Mastercard Virtual C-Suite. This is a hands-on technical leadership role for an experienced engineer who combines strong software engineering fundamentals with practical experience building production-ready AI systems. You will lead the design and delivery of secure, scalable, and reliable agentic applications that can reason, orchestrate tools, interact with enterprise systems, and deliver measurable business value. You will work closely with Applied AI, Data Science, Product, Security, and Platform teams to move from concept to experimentation to governed production deployment. This role will suit a builder who enjoys solving complex problems, working across disciplines, and helping teams deliver high-quality software at pace. We are particularly interested in engineers who know how to use AI responsibly both within products and across the software development lifecycle to improve quality, productivity, engineering effectiveness, and delivery outcomes Key Responsibilities• Lead hands-on architecture, design, and implementation of agentic applications, AI-powered services, and platform capabilities from concept through production• Define engineering patterns and best practices for production AI systems, including evaluation, monitoring, guardrails, resiliency, cost control, and rollback strategies• Drive end-to-end software delivery across the SDLC, from discovery and prototyping to testing, release, and production operations• Use engineering tools to accelerate design, coding, testing, documentation, troubleshooting, and delivery while maintaining strong engineering judgment and code quality standards• Champion an AI-enabled SDLC by improving developer workflows, automation, test generation, code review quality, release confidence, and team productivity• Partner closely with Product, Applied AI, Data Science, and business stakeholders to translate ambiguous opportunities into scalable product capabilities• Provide technical leadership through architectural decisions, design reviews, code reviews, hands-on contribution, and mentoring of engineers across the team• Build highly available, secure, and maintainable cloud-native services with strong observability, performance, and operational readiness• Shape technical roadmaps, identify short- and long-term platform needs, and influence architecture choices that enable scale, reuse, and faster delivery• Collaborate across teams and business units to solve complex business and engineering problems with practical, high-impact solution• Keep senior stakeholders informed of progress, risks, trade-offs, and implementation decisions in a clear and concise manner All about you• Bachelor's degree in computer science, Software Engineering, or a related technical field; advanced degree preferred.• + 10 years software engineering experience building scalable, secure, maintainable production systems, including experience leading complex technical initiatives end to end• Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows• Strong understanding of agentic system design, including planning, reasoning loops, workflow orchestration, memory, grounding, evaluation, safety, and human-in-the-loop controls• Experience taking AI solutions from prototype to production with sound engineering discipline around reliability, observability, latency, cost, security, and governance• Experience with modern AI frameworks, SDKs, and tooling for building AI applications, agent workflows, and developer productivity use cases• Strong programming skills in one or more backend languages such as Java or Python, with the ability to write high-quality, well-tested, production-ready code• Experience with modern front-end frameworks such as React and/or Next.js for building intuitive product experiences would be beneficial• Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure, or GCP• Good understanding of APIs, distributed systems, event-driven architectures, data pipelines, and integration patterns across enterprise platforms• Experience with CI/CD, automated testing, DevSecOps, and engineering automation, including the ability to improve SDLC efficiency and release quality using AI tools• Practical experience using AI coding and engineering assistants to improve productivity across design, implementation, testing, debugging, documentation, and operational support• Strong background in software security, including authentication, authorization, secrets management, encryption, threat modelling, and secure deployment practices for AI-enabled systems• Proven ability to create reusable platforms, frameworks, or internal engineering capabilities that improve developer experience and accelerate delivery across teams• Strong product mindset with the ability to translate user needs and business goals into practical, high-impact technical solutions• Excellent collaboration and communication skills, with experience influencing across engineering, product, data science, and leadership stakeholders Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: - Abide by Mastercard's security policies and practices; - Ensure the confidentiality and integrity of the information being accessed; - Report any suspected information security violation or breach, and - Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Related Guides
Related Job Pages
More Software Engineer Jobs
Role Description Software Engineer Level III (Remote) - Duration: 6 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Technical Skills - Strong Java development experience, including object-oriented programming, backend services, and integration workflows. - Hands-on experience with API development and integration, including RESTful services, authentication patterns, and data transformation. - Proficiency with Apache Kafka, including producing/consuming messages, schema management, and troubleshooting distributed data pipelines. - Experience developing and scheduling cron jobs or other automated/background tasks within enterprise environments. - Strong SQL skills with the ability to write complex queries, tune performance, and troubleshoot issues. - Experience working with Oracle databases, including stored procedures, schema design, and performance optimization. - Familiarity with CI/CD pipelines - preferably using tools such as Jenkins or GitHub Actions. - Understanding of enterprise integration patterns, especially in environments with multiple upstream/downstream systems. Domain Knowledge - Familiarity with Fleet Management / Vehicle Maintenance Systems or other asset management domains. - Understanding of Inventory Management concepts, parts workflows, and related system integrations. Delivery & Process Skills - Experience working in Agile/Scrum environments, participating in sprint ceremonies, backlog refinement, and story estimation. - Ability to use work management tools (VersionOne preferred). - Understanding of IT Service Management (ITSM) processes, including incident, problem, and change management (ServiceNow preferred). Soft Skills - Strong problem-solving and troubleshooting skills, especially in complex enterprise architectures. - Ability to work closely with functional analysts, QA testers, product owners, and business stakeholders. - Comfortable acting as a technical SME in discussions with both technical and non-technical audiences. - Strong written and verbal communication skills, with the ability to clearly document solutions, defects, and integration flows. - Highly collaborative, with the ability to navigate multiple teams, vendors, and integration partners.
Developer
Lancesoft Inc.LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch. Meet Your Recruiter Aman Bairagi
Role Description Senior Frontend Software Engineer Client's Indirect Planning Engineering team is seeking a Senior Frontend Software Engineer to help maintain, modernize, and evolve a large portfolio of enterprise React applications that support critical business capabilities. This team supports a large frontend ecosystem, including dozens of React-based applications and a modern backend environment built on Java/Kotlin Spring Boot microservices. The ideal candidate has deep experience working in large enterprise codebases, improving maintainability, modernizing legacy React applications, and delivering secure, high-quality user experiences. This role is best suited for engineers who are comfortable jumping into mature systems, collaborating across multiple teams, and driving frontend improvements with minimal onboarding. Responsibilities - Develop and maintain enterprise React applications - Build and enhance applications within a Micro Frontend architecture - Modernize legacy React implementations - Refactor class-based components into modern React patterns - Improve frontend performance, scalability, and maintainability - Remediate frontend security vulnerabilities - Improve accessibility and usability - Build reusable and maintainable shared components - Participate in architecture discussions and peer code reviews - Collaborate with backend engineers, UX partners, and product teams - Promote frontend engineering best practices and continuous improvement Qualifications - React - Strong hands-on experience with React 18+ - Deep knowledge of React Hooks, Context API, and custom hooks - Experience with React Router - Familiarity with error boundaries, code splitting, lazy loading, and component composition - TypeScript - Advanced TypeScript experience - Strong understanding of generics, utility types, and type-safe API integration - Ability to design and maintain scalable TypeScript-based frontend code - Enterprise Frontend Development - Experience working in large enterprise codebases - Background modernizing legacy React applications - Proven ability to complete large-scale refactoring efforts - Ability to simplify state management and improve maintainability - Comfortable reading, understanding, and improving existing code - Experience delivering production-quality frontend software Benefits - Four options of medical Insurance - Dental and Vision Insurance - 401k Contributions - Critical Illness Insurance - Voluntary Permanent Life Insurance - Accident Insurance Company Description LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch. Meet Your Recruiter Mohsin Khan
Senior Oracle APEX Developer
Experis/Manpower GroupEn Experis somos especialistas en servicios profesionales y gestión de proyectos IT orientados a tres áreas clave: Business Transformation, Cloud & Infrastructure, Enterprise Applications. Combinamos tecnología, talento y formación para ofrecer soluciones end-to-end a clientes de todo el país. Contamos con más de 1.800 profesionales IT en España y presencia en 54 países.
Role Description ¡Buscamos Desarrollador/a Oracle APEX Senior! Te apasiona el desarrollo sobre tecnologías Oracle y quieres formar parte de un proyecto 100% remoto con un alto componente técnico? ¡Esta oportunidad puede interesarte! - Alrededor de 5 años de experiencia como Analista Programador/a Oracle APEX. - Experiencia en el desarrollo de aplicaciones Oracle APEX desde cero. - Sólidos conocimientos de PL/SQL y modelado de datos Oracle. - Experiencia personalizando aplicaciones mediante JavaScript y CSS. - Capacidad para participar en el análisis, diseño y desarrollo de soluciones. Modalidad: 100% Remota. Valorable: Residencia en Andalucía. - Oracle APEX (nivel experto) - Oracle Database - PL/SQL - Modelado de datos - JavaScript - CSS Benefits - Proyecto estable y con recorrido. - Flexibilidad y trabajo en remoto. - Entorno tecnológico especializado en soluciones Oracle.
• Make deployments boring (in the best way possible) • Own CI/CD pipelines: optimize build times, improve caching, reduce flakiness • Evolve our Kubernetes (EKS) deployment strategy for reliability and speed • Build and harden the infrastructure behind model serving, inference, and agent tooling—not just the app layer around them • Extend our telemetry with better instrumentation, smarter sampling, and actionable dashboards, including eval pipelines and LLM-ops guardrails • Build alerting that catches actual problems and ignores noise • Make the feedback loop from code to production as fast as possible • Improve preview environments, local dev tooling, and testing infrastructure • Eliminate toil through thoughtful automation, not another dashboard nobody reads • Be the engineer who makes other engineers—and agents—faster
